We are seeking a Quantitative Trader to join our client's team. Our client is a global top-tier hedge fund, which trades on a diverse range of asset classes including equities, futures, options, and cryptocurrencies.

In this role, you will be instrumental in executing and optimizing our quantitative trading strategies, making real-time decisions to manage risk, adapt to evolving market conditions, and capitalize on trading opportunities. You will collaborate closely with our quantitative researchers, developers, and technologists to enhance our cutting-edge trading platform, driving innovation and performance across our operations.

Key Responsibilities

• Execute and manage the daily operations of our quantitative trading strategies across equities, futures, options, and crypto markets.
• Develop a comprehensive understanding of market microstructure, asset-specific dynamics, regulatory frameworks, and our trading infrastructure to support expansion into new markets and products.
• Partner with technology and research teams to refine and enhance our world-class trading platform.
• Monitor real-time market trends, performance metrics, and trading signals to inform actionable decisions.
• Design and implement risk management strategies, including playbooks for navigating macroeconomic events.
• Take ownership of trading activities, ensuring robust risk controls and optimal execution.

Skills and Qualifications

• Bachelor’s degree (or higher) in a STEM field (e.g., Mathematics, Computer Science, Physics), Finance, Economics, or a related discipline from a top-tier institution.
• Strong analytical skills with a proven ability to solve complex problems and make sound decisions under pressure in a fast-paced trading environment.
• Experience in quantitative trading, electronic trading, or a related field is highly desirable.
• Detail-oriented with excellent communication skills, both written and verbal.
• Proactive, self-motivated, and eager to learn new technologies, markets, and strategies.
• Technical proficiency: experience with Linux and strong programming skills in Python are significant advantages.
• Familiarity with equities, futures, options, or cryptocurrency markets is a plus.

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